McIlroy, Claire and Graham, R.S. (2018) Modelling flow-enhanced crystallisation during fused filament fabrication of semi-crystalline polymer melts. Additive Manufacturing, 24 . pp. 323-340. ISSN 2214-8604
Full content URL: http://doi.org/10.1016/j.addma.2018.10.018
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Item Type: | Article |
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Item Status: | Live Archive |
Abstract
Achieving better control in fused filament fabrication (FFF) relies on a molecular understanding of how thermoplastic printing materials behave during the printing process. For semi-crystalline polymers, the ultimate crystal morphology and how it develops during cooling is crucial to determining part properties. Here crystallisation kinetics are added to a previously-developed model, which contains a molecularly-aware constitutive equation to describe polymer stretch and orientation during typical non-isothermal FFF flow, and conditions under which flow-enhanced nucleation occurs due to residual stretch are revealed. Flow-enhanced nucleation leads to accelerated crystallisation times at the surface of a deposited filament, whilst the bulk of the filament is governed by slower quiescent kinetics. The predicted time to 10% crystallinity, t10, is in quantitative agreement with in-situ Raman spectroscopy measurements of polycaprolactone (PCL). The model highlights important features not captured by a single measurement of t10. In particular, the crystal morphology varies cross-sectionally, with smaller spherulites forming in an outer skin layer, explaining features observed in full transient crystallisation measurements. Finally, exploitation of flow-enhanced crystallisation is proposed as a mechanism to increase weld strength at the interface between deposited filaments.
Keywords: | fused-filament fabrication, semi-crystalline polymer melt, flow-enhanced crystallisation, polycaprolactone |
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Subjects: | G Mathematical and Computer Sciences > G150 Mathematical Modelling H Engineering > H990 Engineering not elsewhere classified F Physical Sciences > F200 Materials Science G Mathematical and Computer Sciences > G120 Applied Mathematics G Mathematical and Computer Sciences > G160 Engineering/Industrial Mathematics |
Divisions: | College of Science > School of Mathematics and Physics |
ID Code: | 36877 |
Deposited On: | 05 Sep 2019 10:07 |
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